Синтетикалық оқыту деректері
Related Papers
Improved Semantic Parsers For If-Then Statements
Digital personal assistants are becoming both more common and more useful. The major NLP challenge for personal assis- tants is machine understanding: translat- ing natural language user commands into an …...
Quality Estimation without Human-labeled Data
AbstractQuality estimation aims to measure the quality of translated content without access to a reference translation. This is crucial for machine translation systems in real-world scenarios where high-quality translation is …...
Data Augmentation with Dual Training for Offensive Span Detection
AbstractRecognizing offensive text is an important requirement for every content management system, especially for social networks. While the majority of the prior work formulate this problem as text classification, i.e., …...
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
AbstractGrammatical error correction (GEC) is the task of correcting typos, spelling, punctuation and grammatical issues in text. Approaching the problem as a sequence-to-sequence task, we compare the use of a …...
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
AbstractThis work focuses on in-context data augmentation for intent detection. Having found that augmentation via in-context prompting of large pre-trained language models (PLMs) alone does not improve performance, we introduce …...